Robert V. Hogg

9.9k total citations · 1 hit paper
124 papers, 6.3k citations indexed

About

Robert V. Hogg is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Robert V. Hogg has authored 124 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Statistics and Probability, 20 papers in Statistics, Probability and Uncertainty and 13 papers in Artificial Intelligence. Recurrent topics in Robert V. Hogg's work include Advanced Statistical Methods and Models (45 papers), Advanced Statistical Process Monitoring (17 papers) and Statistical Distribution Estimation and Applications (16 papers). Robert V. Hogg is often cited by papers focused on Advanced Statistical Methods and Models (45 papers), Advanced Statistical Process Monitoring (17 papers) and Statistical Distribution Estimation and Applications (16 papers). Robert V. Hogg collaborates with scholars based in United States, United Kingdom and Algeria. Robert V. Hogg's co-authors include Allen T. Craig, Aa, Elliot A. Tanis, Peter J. Huber, Ronald H. Randles, Stuart A. Klugman, Johannes Ledolter, Shirley Hitchcock, Gregory C. Reinsel and S. D. Silvey and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

Robert V. Hogg

106 papers receiving 5.6k citations

Hit Papers

Introduction to Mathematical Statistics. 1996 2026 2006 2016 1996 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Introduction to Mathematical Statistics.
    1996 1.6k citations Robert V. Hogg, Allen T. Craig et al. Journal of the American Statistical Association profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robert V. Hogg United States 39 2.4k 832 801 734 511 124 6.3k
Leon Jay Gleser United States 29 2.3k 1.0× 861 1.0× 579 0.7× 512 0.7× 389 0.8× 96 5.9k
Roger L. Berger United States 23 2.7k 1.1× 955 1.1× 810 1.0× 1.1k 1.5× 583 1.1× 65 6.7k
G. M. Clarke Australia 19 1.3k 0.6× 693 0.8× 483 0.6× 572 0.8× 476 0.9× 40 7.8k
A. Stuart United Kingdom 25 2.3k 1.0× 1.2k 1.4× 757 0.9× 995 1.4× 894 1.7× 43 10.2k
C. Radhakrishna Rao United States 6 3.6k 1.5× 1.3k 1.5× 798 1.0× 1.2k 1.6× 843 1.6× 14 8.1k
C. Radhakrishna Rao United States 38 3.2k 1.3× 932 1.1× 613 0.8× 1.0k 1.4× 463 0.9× 162 7.3k
Michael A. Stephens Canada 32 2.8k 1.2× 1.2k 1.5× 1.0k 1.3× 740 1.0× 609 1.2× 121 8.6k
Franklin A. Graybill United States 26 2.0k 0.9× 719 0.9× 626 0.8× 911 1.2× 399 0.8× 99 5.8k
Kjell A. Doksum United States 29 2.5k 1.1× 877 1.1× 693 0.9× 498 0.7× 470 0.9× 82 4.9k
Norman L. Johnson United States 22 1.4k 0.6× 787 0.9× 837 1.0× 640 0.9× 408 0.8× 56 4.6k

Countries citing papers authored by Robert V. Hogg

Since Specialization
Citations

This map shows the geographic impact of Robert V. Hogg's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Robert V. Hogg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert V. Hogg more than expected).

Fields of papers citing papers by Robert V. Hogg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert V. Hogg. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Robert V. Hogg. The network helps show where Robert V. Hogg may publish in the future.

Co-authorship network of co-authors of Robert V. Hogg

This figure shows the co-authorship network connecting the top 25 collaborators of Robert V. Hogg. A scholar is included among the top collaborators of Robert V. Hogg based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robert V. Hogg. Robert V. Hogg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Archer, David, et al.. (2015). Factors Influencing Physical and Technical Variability in the English Premier League. International Journal of Sports Physiology and Performance. 10(7). 865–872. 77 indexed citations
2.
Luff, Roger, et al.. (2014). From dose rate to websites: making measurements accessible, understandable and helpful to the lay public. Radiation Protection Dosimetry. 160(4). 322–325.
3.
Hogg, Robert V., et al.. (1993). A quality journey: observations and suggestions regarding continuous process improvement. Total Quality Management. 4(2). 195–214. 8 indexed citations
4.
Hogg, Robert V.. (1989). How to Hope with Statistics. Journal of the American Statistical Association. 84(405). 1–5. 9 indexed citations
5.
Hogg, Robert V., et al.. (1988). Detection of symmetry or lack of 11 and applications. Communication in Statistics- Theory and Methods. 17(12). 4163–4177. 3 indexed citations
6.
7.
Hogg, Robert V. & William J. J. Rey. (1985). Introduction to Robust and Quasi-Robust Statistical Methods.. Journal of the American Statistical Association. 80(391). 784–784. 137 indexed citations
8.
Hogg, Robert V. & Stuart A. Klugman. (1984). Loss Distributions. Wiley series in probability and statistics. 162 indexed citations
9.
Hogg, Robert V., Paul S. Horn, & Russell V. Lenth. (1984). On adaptive estimation. Journal of Statistical Planning and Inference. 9(3). 333–343. 6 indexed citations
10.
Hogg, Robert V.. (1982). On adaptive statistical inferences. Communication in Statistics- Theory and Methods. 11(22). 2531–2542. 21 indexed citations
11.
Hogg, Robert V.. (1979). Statistical Robustness: One View of its use in Applications Today. The American Statistician. 33(3). 108–115. 112 indexed citations
12.
Tanis, Elliot A. & Robert V. Hogg. (1978). Probability and Statistical Inference.. Journal of the American Statistical Association. 73(361). 219–219. 60 indexed citations
13.
Hogg, Robert V.. (1977). Probability and statistical inference / by Robert V. Hogg and Elliot A. Tanis. 1977(1977). 1–99.
14.
Hogg, Robert V., et al.. (1975). A Two-Sample Adaptive Distribution-Free Test. Journal of the American Statistical Association. 70(351a). 656–661. 119 indexed citations
15.
Hogg, Robert V.. (1974). Adaptive Robust Procedures: A Partial Review and Some Suggestions for Future Applications and Theory. Journal of the American Statistical Association. 69(348). 909–923. 296 indexed citations
16.
Hogg, Robert V.. (1972). More Light on the Kurtosis and Related Statistics. Journal of the American Statistical Association. 67(338). 422–424. 68 indexed citations
17.
Randles, Ronald H. & Robert V. Hogg. (1971). Certain Uncorrelated and Independent Rank Statistics. Journal of the American Statistical Association. 66(335). 569–574. 17 indexed citations
18.
Hogg, Robert V.. (1967). Some Observations on Robust Estimation. Journal of the American Statistical Association. 62(320). 1179–1186. 92 indexed citations
19.
Hogg, Robert V., et al.. (1960). Introduction to Mathematical Statistics. Journal of Farm Economics. 42(3). 724–724. 148 indexed citations
20.
Hogg, Robert V.. (1960). On Conditional Expectations of Location Statistics. Journal of the American Statistical Association. 55(292). 714–717. 13 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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